Systems and Methods for Person&#39;s Verification Using Portrait Photographs Taken by a Verifier-Controlled Mobile Device

ABSTRACT

One embodiment of the present invention envisions providing requester with an application for a mobile device equipped with a built-in digital photo camera. The application controls the camera and prevents alterations to an image taken with the camera. The unaltered image of a portrait photograph of the requester is transmitted from the mobile device to the verifier&#39;s server computer. The image of the portrait photograph of the requester may further be used to verify the requester by comparing the image to the photographs from other sources.

CROSS REFERENCE TO RELATED PATENT APPLICATIONS

This patent application is continuation-in-part to the following patentapplications:

U.S. patent application Ser. No. 12/939,917, “Methods for Person'sVerification Using Photographs on Identification Documents,” filed Nov.4, 2010.

U.S. patent application Ser. No. 12/939,925, “Systems for Person'sVerification Using Photographs on Identification Documents,” filed Nov.4, 2010.

This patent application is further related to the followingconcurrently-filed patent applications:

U.S. patent application Ser. No. ______, “Systems and Methods forPerson's Verification Using Photographs on Identification DocumentsTaken by a Verifier-Controlled Mobile Device.”

U.S. patent application Ser. No. ______, “Systems and Methods forPerson's Verification Using Photographs on Identification DocumentsTaken by a Verifier-Controlled Digital Camera.”

U.S. patent application Ser. No. ______, “Systems and Methods forPerson's Verification Using Scans of Identification Documents Producedby a Verifier-Controlled Scanning Device.”

U.S. patent application Ser. No. ______, “Systems and Methods forPerson's Verification Using Portrait Photographs Taken by aVerifier-Controlled Digital Camera.”

The subject matter of all patent applications is commonly owned andassigned to The Go Daddy Group, Inc. All prior and concurrentapplications are incorporated herein in their entirety by reference.

FIELD OF THE INVENTION

The present invention relates in general to person's verification onlineusing unaltered photographs obtained via verifier-controlled devices.

BACKGROUND OF THE INVENTION

A network is a collection of links and nodes (e.g., multiple computersand/or other devices connected together) arranged so that informationmay be passed from one part of the network to another over multiplelinks and through various nodes. Examples of networks include theInternet, the public switched telephone network, the global Telexnetwork, computer networks (e.g., an intranet, an extranet, a local-areanetwork, or a wide-area network), wired networks, and wireless networks.

The Internet is a worldwide network of computers and computer networksarranged to allow the easy and robust exchange of information betweencomputer users. Hundreds of millions of people around the world haveaccess to computers connected to the Internet via Internet ServiceProviders (ISPs). Content providers place multimedia information (e.g.,text, graphics, audio, video, animation, and other forms of data) atspecific locations on the Internet referred to as webpages. Websitescomprise a collection of connected, or otherwise related, webpages. Thecombination of all the websites and their corresponding webpages on theInternet is generally known as the World Wide Web (WWW) or simply theWeb.

For Internet users and businesses alike, the Internet continues to bemore and more valuable. People are increasingly using the Web foreveryday tasks such as social networking, shopping, banking, payingbills, and consuming media and entertainment. E-commerce is growing,with businesses delivering more services and content across theInternet, communicating and collaborating online, and inventing new waysto connect with each other.

Some Internet users, typically those that are larger and moresophisticated, may provide their own hardware, software, and connectionsto the Internet. But many Internet users either do not have theresources available or do not want to create and maintain theinfrastructure necessary to host their own websites. To assist suchindividuals (or entities), hosting companies exist that offer websitehosting services. These hosting providers typically provide thehardware, software, and electronic communication means necessary toconnect multiple websites to the Internet. A single hosting provider mayliterally host thousands of websites on one or more hosting servers.

Websites may be created using HyperText Markup Language (HTML) togenerate a standard set of tags that define how the webpages for thewebsite are to be displayed. Users of the Internet may access contentproviders' websites using software known as an Internet browser, such asMICROSOFT INTERNET EXPLORER, MOZILLA FIREFOX, or GOOGLE CHROME. Afterthe browser has located the desired webpage, it requests and receivesinformation from the webpage, typically in the form of an HTML document,and then displays the webpage content for the user. The user then mayview other webpages at the same website or move to an entirely differentwebsite using the browser.

Browsers are able to locate specific websites because each website,resource, and computer on the Internet has a unique Internet Protocol(IP) address. Presently, there are two standards for IP addresses. Theolder IP address standard, often called IP Version 4 (IPv4), is a 32-bitbinary number, which is typically shown in dotted decimal notation,where four 8-bit bytes are separated by a dot from each other (e.g.,64.202.167.32). The notation is used to improve human readability. Thenewer IP address standard, often called IP Version 6 (IPv6) or NextGeneration Internet Protocol (IPng), is a 128-bit binary number. Thestandard human readable notation for IPv6 addresses presents the addressas eight 16-bit hexadecimal words, each separated by a colon (e.g.,2EDC:BA98:0332:0000:CF8A:000C:2154:7313).

IP addresses, however, even in human readable notation, are difficultfor people to remember and use. A Uniform Resource Locator (URL) is mucheasier to remember and may be used to point to any computer, directory,or file on the Internet. A browser is able to access a website on theInternet through the use of a URL. The URL may include a HypertextTransfer Protocol (HTTP) request combined with the website's Internetaddress, also known as the website's domain name. An example of a URLwith a HTTP request and domain name is: http://www.companyname.com. Inthis example, the “http” identifies the URL as a HTTP request and the“companyname.com” is the domain name.

Domain names are much easier to remember and use than theircorresponding IP addresses. The Internet Corporation for Assigned Namesand Numbers (ICANN) approves some Generic Top-Level Domains (gTLD) anddelegates the responsibility to a particular organization (a “registry”)for maintaining an authoritative source for the registered domain nameswithin a TLD and their corresponding IP addresses. For certain TLDs(e.g., .biz, .info, .name, and .org) the registry is also theauthoritative source for contact information related to the domain nameand is referred to as a “thick” registry. For other TLDs (e.g., .com and.net) only the domain name, registrar identification, and name serverinformation is stored within the registry, and a registrar is theauthoritative source for the contact information related to the domainname. Such registries are referred to as “thin” registries. Most gTLDsare organized through a central domain name Shared Registration System(SRS) based on their TLD.

The process for registering a domain name with .com, .net, .org, andsome other TLDs allows an Internet user to use an ICANN-accreditedregistrar to register their domain name. For example, if an Internetuser, John Doe, wishes to register the domain name “mycompany.com,” JohnDoe may initially determine whether the desired domain name is availableby contacting a domain name registrar. The Internet user may make thiscontact using the registrar's webpage and typing the desired domain nameinto a field on the registrar's webpage created for this purpose. Uponreceiving the request from the Internet user, the registrar mayascertain whether “mycompany.com” has already been registered bychecking the SRS database associated with the TLD of the domain name.The results of the search then may be displayed on the webpage tothereby notify the Internet user of the availability of the domain name.If the domain name is available, the Internet user may proceed with theregistration process. Otherwise, the Internet user may keep selectingalternative domain names until an available domain name is found. Domainnames are typically registered for a period of one to ten years withfirst rights to continually re-register the domain name.

An individual or entity's domain name is increasingly the anchor aroundwhich their online presence is maintained. For example, a company'swebsite (www.companyname.com) and email system(john.doe@companyname.com) utilize the company's domain name as anintegral part of their architecture. Similarly, many Internet users usetheir email address, and therefore their domain name, as a means ofidentification on social websites, which have proliferated in recentyears. Social websites are social networking services that focus onbuilding and verifying online social networks for communities of peoplewho share interests and activities, or who are interested in exploringthe interests and activities of others, and which necessitates the useof software. Most social websites are Internet based and provide acollection of various ways for users to interact, such as chat,messaging, email, video, voice chat, personal information sharing, imagesharing, video sharing, file sharing, status updates, blogging,discussion groups, commentary, etc. The main types of social networkingservices are those which contain directories of some categories (such asformer classmates), means to connect with friends (usually withself-description pages), and/or recommendation systems linked to trust.Popular methods now combine many of these, with MYSPACE, BEBO, FACEBOOK,TWITTER, YOUTUBE, LINKEDIN, PHOTOBUCKET, SNAPFISH, WINDOWS LIVE PHOTOS,WEBSHOTS, and FLICKR being but a few examples.

Such social websites often post their members' public webpages for allInternet users to view, without authentication or login. Conversely,members' private webpages may only be accessed and viewed by the member.The private webpages generally require member authentication and providethe member with tools to manage his public webpage, communicate withother members, and/or otherwise manage his social website membership.

Many social websites, typically those that receive or share sensitiveinformation (as well as websites associated with banks, credit cardcompanies, and online businesses), may require Internet users to loginto the website with a secure username and password before accessing thewebsite's content.

The username/password system is a common form of secret authenticationdata used to control website access. The username/password is keptsecret from those not allowed access. Those wishing to gain access aretested on whether or not they have a valid (recognized) username andwhether they know the associated password. Internet users are granted ordenied access to websites accordingly.

Many social websites have different rules governing the creation ofusernames and passwords. Some require passwords that include a complexcombination of letters, numbers, and other characters. Others have norestrictions whatsoever. With the proliferation of login-accesswebsites, Internet users often must remember dozens (or more) differentusername/password combinations, one for each secure website they wish toaccess. This has resulted in what has come to be known as “passwordfatigue.”

Partly in response to these issues, the concept of the “digitalidentity” has evolved. A digital identity is a set of characteristics bywhich a person or thing is recognizable or distinguished in the digitalrealm. Digital identity allows for the electronic recognition of anindividual or thing without confusing it for someone or something else.

There are many applications for an Internet user's digital identity,including authenticating the user before permitting access to a website.One method for such authentication includes the use of a URL. URL-baseddigital identity systems (such as OPENID) utilize a framework based onthe concept that any individual or entity can identify themselves on theInternet with a URL provided by a Digital Identity Provider (e.g.,johndoe.openid.com). The Digital Identity Provider maintains an IdentityServer on which a Digital Identity Database (a database of provideddigital identity URLs and the corresponding authentication passwords) isstored.

Once obtained, the Internet user may utilize their digital identity URLto access various websites. For example, to login to an OpenID-enabledwebsite, the user enters their OpenID (e.g., johndoe.openid.com) in theusername box. The user is then momentarily redirected to the user'sDigital Identity Provider's website (or an authentication windowappears) to login using whatever password they have set up with theirDigital Identity Provider. Once authenticated, the Digital IdentityProvider sends the participating website an encrypted message (a token)confirming the identity of the person logging in. There are currentlynumerous Digital Identity Providers offering URL-based (OpenID) digitalidentity services, meaning they offer digital identity URLs and serversto authenticate them.

One of the problems facing companies doing business online is verifyingthat digital identity actually belongs to a real human being (person)and that this particular real human being is not impersonating somebodyelse. Most validation systems today do it by sending an email message toperson's email address. The email message typically contains a uniquelink or code that person should provide back to the verifier (often viaa verifier's website). These systems are not able to validate the realidentity of a person because the systems only check whether therequester has control over the email account.

Applicant has noticed that presently-existing systems and methods do notallow for efficient and robust matching of digital identities with theactual human persons. For the foregoing reason, there is a need for thesystems and methods that would allow for establishing and verifyingidentity of a human person.

Therefore, new systems and methods are needed to overcome thelimitations of the current systems and methods.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram illustrating high-level components of anembodiment of a system of the present invention.

FIG. 2 is an interaction diagram illustrating interactions between thehigh-level components of a system of the present invention.

FIGS. 3, 5, 6, 9, 10, 13, 14, 17, 18, 21, and 22 are flowchartsillustrating embodiments of methods of the present invention.

FIGS. 4, 7, 8, 11, 12, 15, 16, 19, 20, 23, and 24 are block diagramsillustrating embodiments of means-plus-function systems of the presentinvention.

DETAILED DESCRIPTION AND PREFERRED EMBODIMENT

The present invention will now be discussed in detail with regard to theattached drawing figures which were briefly described above. In thefollowing description, numerous specific details are set forthillustrating the Applicant's best mode for practicing the invention andenabling one of ordinary skill in the art of making and using theinvention. It will be obvious, however, to one skilled in the art thatthe present invention may be practiced without many of these specificdetails. In other instances, well-known machines and method steps havenot been described in particular detail in order to avoid unnecessarilyobscuring the present invention. Unless otherwise indicated, like partsand method steps are referred to with like reference numerals.

For the purpose of this disclosure the term “Verifier” refers acommercial company, a non-profit organization, a governmental agency, abusiness operator, a business owner, a person, an entity, a managementof an entity. The term “Verifier” also includes a person or entityacting on behalf of the above mentioned parties. Further, the term“Verifier” includes a computer system ran by above mentioned parties.

One of the objectives of the present invention is to find a new way tovalidate a person if he/she is able to supply an identification documentthat contains a photograph of a face of that person (e.g., Photo ID).The approach used in the invention for validating identify of the personincludes comparing the provided photograph on the photo ID against theimages that are available through various websites, including imagesharing and social networks websites. Among such websites may bementioned MYSPACE, BEBO, FACEBOOK, TWITTER, YOUTUBE, LINKEDIN,PHOTOBUCKET, SNAPFISH, WINDOWS LIVE PHOTOS, WEBSHOTS, FLICKR, etc. Manyusers upload pictures of themselves or other users to these websites.The user's personal information may be used to find relevant imagesdisplaying the person who needs to be verified.

Referring to FIG. 1, an exemplary embodiment of the system of thepresent invention may include a Verifier 105 connectively coupled to aNetwork 110 via a first Communication Link 125, a Requester 115connectively coupled to the Network 110 via a second Communication Link130, and one or more Sources 120 (i.e., computer network informationsources) connectively coupled to the Network 110 via a thirdCommunication Link 135. The Verifier 105 is typically a businessinterested in verifying identity of the Requester 115 using the Sources120. The Requester 115 is one or more network users, who generally needto be verified with the Verifier 105. The Sources 120 include forexample a website, a webpage, an online blog, a social network website,a picture/image sharing webpage, etc.

The Network 110 is a computer network. It may include a LAN (Local AreaNetwork), WLAN (Wireless Local Area Network), WAN (Wide Area Network),MAN (Metropolitan Area Network), a global network, etc. The Internet isa widely-used global computer network. The Network 110 may support avariety of a network layer protocols, such as, DHCP (Dynamic HostConfiguration Protocol), DVMRP (Distance Vector Multicast RoutingProtocol), ICMP/ICMPv6 (Internet Control Message Protocol), IGMP(Internet Group Management Protocol), IP (Internet Protocol version 4),IPv6 (Internet Protocol version 6), MARS (Multicast Address ResolutionServer), PIM and PIM-SM (Protocol Independent Multicast-Sparse Mode),RIP2 (Routing Information Protocol), RIPng for IPv6 (Routing InformationProtocol for IPv6), RSVP (Resource ReSerVation setup Protocol), VRRP(Virtual Router Redundancy Protocol), etc. Further, the Network 110 maysupport a variety of a transport layer protocols, such as, ISTP(Internet Signaling Transport Protocol), Mobile IP (Mobile IP Protocol),RUDP (Reliable UDP), TALI (Transport Adapter Layer Interface), TCP(Transmission Control Protocol), UDP (User Datagram Protocol), VanJacobson (compressed TCP), XOT (X.25 over TCP), etc. In addition, theNetwork 110 may support a variety of an application layer protocols,such as, COPS (Common Open Policy Service), FANP (Flow AttributeNotification Protocol), Finger (User Information Protocol), FTP (FileTransfer Protocol), HTTP (Hypertext Transfer Protocol), IMAP and IMAP4(Internet Message Access Protocol, rev 4), IMPPpre (Instant MessagingPresence Protocol), IMPPmes (Instant Messaging Protocol), IPDC (IPDevice Control), IRC (Internet Relay Chat Protocol), ISAKMP (InternetMessage Access Protocol version 4rev1), ISP, NTP (Network TimeProtocol), POP and POP3 (Post Office Protocol, version 3), Radius(Remote Authentication Dial In User Service), RLOGIN (Remote Login),RTSP (Real-time Streaming Protocol), SCTP (Stream Control TransmissionProtocol), S-HTTP or HTTPS (Secure Hypertext Transfer Protocol), SLP(Service Location Protocol), SMTP (Simple Mail Transfer Protocol), SNMP(Simple Network Management Protocol), SOCKS (Socket Secure Server),TACACS+ (Terminal Access Controller Access Control System), TELNET(TCP/IP Terminal Emulation Protocol), TFTP (Trivial File TransferProtocol), WCCP (Web Cache Coordination Protocol), X-Window (X Window),etc. The Network 110 supports digital interactions between the Verifier105, the Requester 115, and the Sources 120.

An exemplary embodiment of interactions between the system components isshown in FIG. 2. The Verifier 105 collects personal information from theRequester 115 (step 205). In a preferred embodiment the Verifier 105collects personal information from the Requester 115 via a web-basedgraphical user interface. The Verifier 105 obtains a digital copy of aphoto ID from the Requester 115 (step 210). The Verifier 105 isolatesrequester's photograph from the photo ID (step 215). The Verifier 105then obtains images from the Sources 120 (step 220) and comparesrequester's photograph with images obtained from the Sources 120 (step225). The Verifier 105 then calculates a statistical rating oflikelihood that requester's photograph and images obtained from theSources 120 depict the same person based on the results of comparison ofrequester's photograph and images obtained from the Sources 120 (step230). The value of statistical rating indicates whether the Requester115 was authenticated or not.

If the collection of personal information and obtaining a digital copyof a photo ID from the Requester 115 is enabled via a web-basedgraphical user interface, the web-based graphical user interface istypically a website or a webpage. The web-based graphical user interfaceis achieved by a first computer-readable code on a server computer ofthe Verifier 105 and by a second computer-readable code on adesktop/remote computer of the Requester 115. The firstcomputer-readable code may comprise, for example, SGML, HTML, DHTML,XML, XHTML, CSS, server-side programming languages and scripts, such as,Perl, PHP, ASP, ASP.NET, Java, JavaScript, Visual J++, J#, C, C++, C#,Visual Basic, VB.Net, VBScript, server-side databases, etc. The secondcomputer-readable code may comprise, for example, SGML (StandardGeneralized Markup Language), HTML (HyperText Markup Language), DHTML(Dynamic HTML), XML (eXtensible Markup Language), XHTML (eXtensibleHTML), CSS (Cascading Style Sheet), client-side programming scripts,such as, JavaScript and VBScript, client-side databases, etc. Both thefirst computer-readable code and the second computer-readable code cansupport embedded objects, such as, audio and video elements, ActiveXcontrols, etc. Alternatively, collection of personal information fromthe Requester 115 may be enabled via other means, e.g., a desktopsoftware or an application on a mobile device.

The server computer of the Verifier 105 can be running a variety ofoperating systems, such as, MICROSOFT WINDOWS, APPLE MAC OS X, UNIX,LINUX, GNU, BSD, FreeBSD, SUN SOLARIS, NOVELL NETWARE, OS/2, TPF, eCS(eComStation), VMS, Digital VMS, OpenVMS, AIX, z/OS, HP-UX, OS-400, etc.The web-based graphical user interface may be provided by a web-serversoftware running on the server computer of the Verifier 105. Theweb-server software may include MICROSOFT IIS (Internet InformationServices/Server), APACHE HTTP SERVER, APACHE TOMCAT, nginx, GWS (GOOGLEWEB SERVER), SUN JAVA SYSTEM WEB SERVER, etc.

The Verifier 105 computer systems can contain one or more physicalservers. The physical servers can play different roles in the system ofthe invention, e.g., a Web Server, a Mail Server, an Application Server,a Database Server, a DNS (Domain Name System) Server, etc. The Verifier105 computer systems can be based on a variety of hardware platforms,such as, x86, x64, INTEL, ITANIUM, IA64, AMD, SUN SPARC, IBM, HP, etc.

The Requester 115 computer systems are electronic devices suitable forinteraction over the Network 110. The Requester 115 computer systems maycontain, for example, a personal computer, a desktop computer, a laptopcomputer, a notebook computer, a tablet computer, a cell phone, a smartphone, a PDA, a palmtop computer, a handheld computer, a pocketcomputer, a touch screen device, an IBM PC-compatible electronic device,an APPLE MAC-compatible electronic device, a computing device, a digitaldevice, or another electronic device or combination thereof.

The Verifier 105, the Requester 115, and the Sources 120 arecommunicatively connected to the Network 110 via the Communication Links125, 130, and 135. The Communication Links 125, 130, and 135 are wiredor wireless connections suitable for exchange of digital information.The Communication Links 125, 130, and 135 may include telephone line,copper twisted pair, power-line, fiber-optic, cellular, satellite,dial-up, Ethernet, DSL, ISDN, T-1, DS-1, Wi-Fi, etc.

The Verifier 105 computer systems may be located in a physicaldatacenter, in a virtual datacenter, in a variety of countries orterritories, on a floating device, be connected to the Internetbackbone, be connected to a power grid, etc. The floating device may bea marine or naval vessel or ship. Verifier 105 computer systems may becooled by air or liquid, such as water, including ocean or sea water.

An exemplary embodiment of a method of present invention is shown inFIG. 3. The method comprises the steps of: collecting a personalinformation from a requester via a web-based graphical user interface,where the web-based graphical user interface is achieved by a firstcomputer-readable code on a server computer and by a secondcomputer-readable code on a remote computer, and where the servercomputer and the remote computer are communicatively connected via acomputer network (step 305), obtaining a digital copy of anidentification document from the requester, where the identificationdocument contains a requester's photograph (step 310), isolating therequester's photograph from the digital copy of the identificationdocument (step 315), obtaining one or more images from one or morecomputer network information sources, where one or more images areselected from a plurality of all images in one or more computer networkinformation sources as a function of the personal information (step320), comparing the requester's photograph with one or more imagesobtained from one or more computer network information sources using apredetermined algorithm (step 325), and calculating a statistical ratingof a likelihood that the requester's photograph and one or more imagesobtained from one or more computer network information sources depictthe same person (step 330).

The personal information may include name, mailing address, homeaddress, electronic mail address, telephone number, date of birth of therequester, login name to a website (e.g., social network or imagesharing website), an account number or an account name of the requesterto a website (e.g., social network or image sharing website), a passwordof the requester to a website (e.g., social network or image sharingwebsite), and a variety of other information that may be associated withthe requester.

The computer network may be the Internet.

Obtaining the digital copy of an identification document from therequester may be performed in a variety of ways. For example, therequester can scan the identification document on a scanner, take adigital picture of the identification document with a digital camera,take a digital picture of the identification document with a mobiledevice equipped with a built-in camera (e.g. smart phone, such asIPHONE, BLACKBERRY, DROID/ANDROID, HTC, PALM), etc. The requester mayemail the digital copy (scan/digital picture) of the identificationdocument to the verifier, upload it on a website, or use an applicationon a mobile device to transmit the digital copy to the verifier.

The identification document may include a government issuedidentification document, driver's license, passport, state or provinceidentification card, corporate identification card, and variety of otherdocuments issued to the requester and containing requester's photograph.

The isolating the requester's photograph from the digital copy of theidentification document may include analyzing the digital copy of theidentification document using an optical face detection algorithm andidentifying an area of the digital copy of the identification documentcontaining facial features. Some types of identification documents arepretty common, thus their formats and the location of the photograph onthem are known as well. Therefore, an algorithm can be applied to thedigital copy of the identification document to determine the type of thedocument. The photograph's location (predetermined area) correspondingwith that particular type of the document may be recalled from adatabase, and requester's photograph may be extracted from thepredetermined area of the digital copy of the identification document.

The computer network information sources may include a website, awebpage, an online blog, a social network website, an image sharingwebsite, and a variety of other digital sources.

The methods of the present invention may utilize a variety of mechanismsto select the images from the computer network information sources. Forexample, images posted onto the computer network information sourcesfrom an account of the requester, or images tagged with a name of therequester, or images appearing in a social network account of therequester may be selected. A variety of other mechanisms may be utilizedthat select the images with some probability that a facial depiction ofthe requester is appearing on the image.

The methods of the present invention further may extract a first set offacial features from the requester's photograph and a second set offacial features from the images obtained from the computer networkinformation sources.

The first set of facial features from the requester's photograph and thesecond set of facial features from the images obtained from the computernetwork information sources may be compared utilizing a predeterminedalgorithm. The predetermined algorithm may include the principalcomponent analysis with eigenface, the linear discriminate analysis,elastic bunch graph matching fisherface, the Hidden Markov model, theneuronal motivated dynamic link matching, skin texture analysis, facehallucination (low-resolution images enhancement), and many others.

The statistical rating of a likelihood that the requester's photographand the image obtained from the computer network information sourcesdepict the same person may be calculated in various ranges. It may be arange of real numbers from 0 to 1, where value 0 indicates the lowestlikelihood and value 1 indicates the highest likelihood that therequester's photograph and the image obtained from the computer networkinformation sources depict the same person. In one embodiment, thestatistical rating of value 0.5 and above indicates that the requester'sphotograph and the image obtained from the computer network informationsources depict the same person. In an embodiment, the statistical ratingis calculated as an integer number of 0 or 1.

Referring to FIG. 4, an exemplary embodiment of the system of thepresent invention may include: means for collecting a personalinformation from a requester via a web-based graphical user interface,where the web-based graphical user interface is achieved by a firstcomputer-readable code on a server computer and by a secondcomputer-readable code on a remote computer, and where the servercomputer and the remote computer are communicatively connected via acomputer network (405), means for obtaining a digital copy of anidentification document from the requester, where the identificationdocument contains a requester's photograph (410), means for isolatingthe requester's photograph from the digital copy of the identificationdocument (415), means for obtaining one or more images from one or morecomputer network information sources, where one or more images areselected from a plurality of all images in one or more computer networkinformation sources as a function of the personal information (420),means for comparing the requester's photograph with one or more imagesobtained from one or more computer network information sources using apredetermined algorithm (425), and means for calculating a statisticalrating of a likelihood that the requester's photograph and one or moreimages obtained from one or more computer network information sourcesdepict the same person (430).

The personal information may include name, mailing address, homeaddress, electronic mail address, telephone number, date of birth of therequester, login name to a website (e.g., social network or imagesharing website), an account number or an account name of the requesterto a website (e.g., social network or image sharing website), a passwordof the requester to a website (e.g., social network or image sharingwebsite), and a variety of other information that may be associated withthe requester.

The computer network may be the Internet.

The means for obtaining a digital copy of an identification documentfrom the requester may include an email server, a website, anapplication on a mobile device, etc. The requester can scan theidentification document on a scanner, take a digital picture of theidentification document with a digital camera, take a digital picture ofthe identification document with a mobile device equipped with abuilt-in camera (e.g. smart phone, such as IPHONE, BLACKBERRY,DROID/ANDROID, HTC, PALM), etc. The requester may email the digital copy(scan/digital picture) of the identification document to the verifier,upload it on the website, or use the application on a mobile device totransmit the digital copy to the verifier.

The identification document may include a government issuedidentification document, driver's license, passport, state or provinceidentification card, corporate identification card, and variety of otherdocuments issued to the requester and containing requester's photograph.

The means for isolating the requester's photograph from the digital copyof the identification document may include means for analyzing thedigital copy of the identification document using an optical facedetection algorithm and means for identifying an area of the digitalcopy of the identification document containing facial features. Sometypes of identification documents are pretty common, thus their formatsand the location of the photograph on them are known as well. Therefore,an algorithm can be applied to the digital copy of the identificationdocument to determine the type of the document. The photograph'slocation (predetermined area) corresponding with that particular type ofthe document may be recalled from a database, and requester's photographmay be extracted from the predetermined area of the digital copy of theidentification document.

The computer network information sources may include a website, awebpage, an online blog, a social network website, an image sharingwebsite, and a variety of other digital sources.

The systems of the present invention may utilize a variety of mechanismsto select the images from the computer network information sources. Forexample, images posted onto the computer network information sourcesfrom an account of the requester, or images tagged with a name of therequester, or images appearing in a social network account of therequester may be selected. A variety of other mechanisms may be utilizedthat select the images with some probability that a facial depiction ofthe requester is appearing on the image.

The systems of the present invention further may extract a first set offacial features from the requester's photograph and a second set offacial features from the images obtained from the computer networkinformation sources.

The first set of facial features from the requester's photograph and thesecond set of facial features from the images obtained from the computernetwork information sources may be compared utilizing a predeterminedalgorithm. The predetermined algorithm may include the principalcomponent analysis with eigenface, the linear discriminate analysis,elastic bunch graph matching fisherface, the Hidden Markov model, theneuronal motivated dynamic link matching, skin texture analysis, facehallucination (low-resolution images enhancement), and many others.

The statistical rating of a likelihood that the requester's photographand the image obtained from the computer network information sourcesdepict the same person may be calculated in various ranges. It may be arange of real numbers from 0 to 1, where value 0 indicates the lowestlikelihood and value 1 indicates the highest likelihood that therequester's photograph and the image obtained from the computer networkinformation sources depict the same person. In one embodiment, thestatistical rating of value 0.5 and above indicates that the requester'sphotograph and the image obtained from the computer network informationsources depict the same person. In an embodiment, the statistical ratingis calculated as an integer number of 0 or 1.

Another exemplary embodiment of a method of present invention is shownin FIG. 5. The method comprises the steps of: providing a requester witha computer-readable program (application) for a digital mobile deviceequipped with a built-in digital photo camera, where thecomputer-readable program controls the digital photo camera and preventsalterations to an image taken with the digital photo camera on thedigital mobile device (step 505), and transmitting from the digitalmobile device to a server computer a digital copy of an identificationdocument of the requester, taken by the requester with the digital photocamera on the digital mobile device, where the identification documentcontains a requester's photograph, where the transmitting is achieved bya first computer-readable code on the server computer and by a secondcomputer-readable code on the digital mobile device, and where theserver computer and the digital mobile device are communicativelyconnected via a computer network (step 510).

The digital mobile device may include a cellular phone and otherdevices. Providing the requester with a computer-readable program forthe digital mobile device may be accomplished via a website or anapplication running on the digital mobile device suitable fordownloading and installing computer-readable programs. The software fordigital mobile devices is commonly distributed by APPLE'S APP STORE,APPLE ITUNES, GOOGLE's ANDROID MARKET, PALM/HP's APP CATALOG, PALM'sSOFTWARE STORE, RIM's APP WORLD, NOKIA's OVI STORE, MICROSOFT's WINDOWSPHONE MARKETPLACE, etc. The computer-readable program may be downloadedon the digital mobile device via a computer or cellular network, as wellas via detachable memory storage devices.

The computer-readable program provided to the requester is designed tocontrol the built-in digital photo camera of the digital mobile deviceand prevents alterations to an image taken with the digital photocamera. Thus, the verifier ensures that the photographs of the documentsor the portrait photographs of the requester taken with the digitalphoto camera through the provided computer-readable program were nottempered with.

After the requester took a picture of the identification document withthe digital photo camera of the digital mobile device under control ofthe computer-readable program, the resulting image is transmitted to theverifier's server.

Another exemplary embodiment of a method of present invention is shownin FIG. 6. The method comprises the steps of: providing a requester witha computer-readable program (application) for a digital mobile deviceequipped with a built-in digital photo camera, where thecomputer-readable program controls the digital photo camera and preventsalterations to an image taken with the digital photo camera on thedigital mobile device (step 605), collecting a personal information fromthe requester via the computer-readable program for the digital mobiledevice or via a web-based graphical user interface (step 610),transmitting from the digital mobile device to a server computer adigital copy of an identification document of the requester, taken bythe requester with the digital photo camera on the digital mobiledevice, where the identification document contains a requester'sphotograph, where the transmitting is achieved by a firstcomputer-readable code on the server computer and by a secondcomputer-readable code on the digital mobile device, and where theserver computer and the digital mobile device are communicativelyconnected via a computer network (step 615), isolating the requester'sphotograph from the digital copy of the identification document (step620), obtaining one or more images from one or more computer networkinformation sources, where the one or more images are selected from aplurality of all images in the one or more computer network informationsources as a function of the personal information (step 625), comparingthe requester's photograph with the one or more images obtained from theone or more computer network information sources using a predeterminedalgorithm (step 630), and calculating a statistical rating of alikelihood that the requester's photograph and the one or more imagesobtained from the one or more computer network information sourcesdepict the same person (step 635).

Another exemplary embodiment of a system of present invention is shownin FIG. 7. The system comprises: means for providing a requester with acomputer-readable program (application) for a digital mobile deviceequipped with a built-in digital photo camera, where thecomputer-readable program controls the digital photo camera and preventsalterations to an image taken with the digital photo camera on thedigital mobile device (705), and means for transmitting from the digitalmobile device to a server computer a digital copy of an identificationdocument of the requester, taken by the requester with the digital photocamera on the digital mobile device, where the identification documentcontains a requester's photograph, where transmitting is achieved by afirst computer-readable code on the server computer and by a secondcomputer-readable code on the digital mobile device, and where theserver computer and the digital mobile device are communicativelyconnected via a computer network (710).

The means for providing a requester with a computer-readable program mayinclude a computer server configured for downloading software ontodigital mobile devices, an operating system installed on the digitalmobile device and capable of downloading software from a server, etc.The means for transmitting a digital copy of an identification documentmay include a computer server configured for downloading data from thedigital mobile devices to the server, a computer software installed onthe digital mobile device and programmed to upload data from the digitalmobile device to the server, etc.

Another exemplary embodiment of a system of present invention is shownin FIG. 8. The system comprises: means for providing a requester with acomputer-readable program (application) for a digital mobile deviceequipped with a built-in digital photo camera, where thecomputer-readable program controls the digital photo camera and preventsalterations to an image taken with the digital photo camera on thedigital mobile device (805), means for collecting a personal informationfrom the requester via the computer-readable program for the digitalmobile device or via a web-based graphical user interface (810), meansfor transmitting from the digital mobile device to a server computer adigital copy of an identification document of the requester, taken bythe requester with the digital photo camera on the digital mobiledevice, where the identification document contains a requester'sphotograph, where transmitting is achieved by a first computer-readablecode on the server computer and by a second computer-readable code onthe digital mobile device, and where the server computer and the digitalmobile device are communicatively connected via a computer network(815), means for isolating the requester's photograph from the digitalcopy of the identification document (820), means for obtaining one ormore images from one or more computer network information sources, wherethe one or more images are selected from a plurality of all images inthe one or more computer network information sources as a function ofthe personal information (825), means for comparing the requester'sphotograph with the one or more images obtained from the one or morecomputer network information sources using a predetermined algorithm(830), and means for calculating a statistical rating of a likelihoodthat the requester's photograph and the one or more images obtained fromthe one or more computer network information sources depict the sameperson (835).

Another exemplary embodiment of a method of present invention is shownin FIG. 9. The method comprises the steps of: providing a requester witha computer-readable program for a remote computer equipped with adigital photo camera, where the computer-readable program controls thedigital photo camera and prevents alterations to an image taken with thedigital photo camera on the remote computer (step 905), and transmittingfrom the remote computer to a server computer a digital copy of anidentification document of the requester, taken by the requester withthe digital photo camera on the remote computer, where theidentification document contains a requester's photograph, where thetransmitting is achieved by a first computer-readable code on the servercomputer and by a second computer-readable code on the remote computer,and where the server computer and the remote computer arecommunicatively connected via a computer network (step 910).

Providing the requester with a computer-readable program for the remotecomputer equipped with a digital photo camera may be accomplished via awebsite or an application running on the remote computer suitable fordownloading and installing computer-readable programs. Thecomputer-readable program may be downloaded on the remote computer via acomputer or cellular network, as well as via detachable memory storagedevices.

The computer-readable program provided to the requester is designed tocontrol the digital photo camera of the remote computer and preventsalterations to an image taken with the digital photo camera. Thus, theverifier ensures that the photographs of the documents or the portraitphotographs of the requester taken with the digital photo camera throughthe provided computer-readable program were not tempered with.

After the requester took a picture of the identification document withthe digital photo camera of the remote computer under control of thecomputer-readable program, the resulting image is transmitted to theverifier's server.

Another exemplary embodiment of a method of present invention is shownin FIG. 10. The method comprises the steps of: providing a requesterwith a computer-readable program for a remote computer equipped with adigital photo camera, where the computer-readable program controls thedigital photo camera and prevents alterations to an image taken with thedigital photo camera on the remote computer (step 1005), collecting apersonal information from the requester via the computer-readableprogram for the remote computer or via a web-based graphical userinterface (step 1010), transmitting from the remote computer to a servercomputer a digital copy of an identification document of the requester,taken by the requester with the digital photo camera on the remotecomputer, where the identification document contains a requester'sphotograph, where the transmitting is achieved by a firstcomputer-readable code on the server computer and by a secondcomputer-readable code on the remote computer, and where the servercomputer and the remote computer are communicatively connected via acomputer network (step 1015), isolating the requester's photograph fromthe digital copy of the identification document (step 1020), obtainingone or more images from one or more computer network informationsources, where the one or more images are selected from a plurality ofall images in the one or more computer network information sources as afunction of the personal information (step 1025), comparing therequester's photograph with the one or more images obtained from the oneor more computer network information sources using a predeterminedalgorithm (step 1030), and calculating a statistical rating of alikelihood that the requester's photograph and the one or more imagesobtained from the one or more computer network information sourcesdepict the same person (step 1035).

Another exemplary embodiment of a system of present invention is shownin FIG. 11. The system comprises: means for providing a requester with acomputer-readable program for a remote computer equipped with a digitalphoto camera, where the computer-readable program controls the digitalphoto camera and prevents alterations to an image taken with the digitalphoto camera on the remote computer (1105), and means for transmittingfrom the remote computer to a server computer a digital copy of anidentification document of the requester, taken by the requester withthe digital photo camera on the remote computer, where theidentification document contains a requester's photograph, wheretransmitting is achieved by a first computer-readable code on the servercomputer and by a second computer-readable code on the remote computer,and where the server computer and the remote computer arecommunicatively connected via a computer network (1110).

The means for providing a requester with a computer-readable program mayinclude a computer server configured for downloading software ontoremote computers, a software installed on the remote computer andcapable of downloading computer-readable programs from a server, etc.The means for transmitting a digital copy of an identification documentmay include a computer server configured for downloading data from theremote computers to the server, a computer software installed on theremote computer and programmed to upload data from the remote computerto the server, etc.

Another exemplary embodiment of a system of present invention is shownin FIG. 12. The system comprises: means for providing a requester with acomputer-readable program for a remote computer equipped with a digitalphoto camera, where the computer-readable program controls the digitalphoto camera and prevents alterations to an image taken with the digitalphoto camera on the remote computer (1205), means for collecting apersonal information from the requester via the computer-readableprogram for the remote computer or via a web-based graphical userinterface (1210), means for transmitting from the remote computer to aserver computer a digital copy of an identification document of therequester, taken by the requester with the digital photo camera on theremote computer, where the identification document contains arequester's photograph, where transmitting is achieved by a firstcomputer-readable code on the server computer and by a secondcomputer-readable code on the remote computer, and where the servercomputer and the remote computer are communicatively connected via acomputer network (1215), means for isolating the requester's photographfrom the digital copy of the identification document (1220), means forobtaining one or more images from one or more computer networkinformation sources, where the one or more images are selected from aplurality of all images in the one or more computer network informationsources as a function of the personal information (1225), means forcomparing the requester's photograph with the one or more imagesobtained from the one or more computer network information sources usinga predetermined algorithm (1230), and means for calculating astatistical rating of a likelihood that the requester's photograph andthe one or more images obtained from the one or more computer networkinformation sources depict the same person (1235).

Another exemplary embodiment of a method of present invention is shownin FIG. 13. The method comprises the steps of: providing a requesterwith a computer-readable program for a remote computer equipped with ascanning device, where the computer-readable program controls thescanning device and prevents alterations to an image produced by thescanning device on the remote computer (step 1305), and transmittingfrom the remote computer to a server computer a digital copy of anidentification document of the requester, produced by the scanningdevice on the remote computer, where the identification documentcontains a requester's photograph, where the transmitting is achieved bya first computer-readable code on the server computer and by a secondcomputer-readable code on the remote computer, and where the servercomputer and the remote computer are communicatively connected via acomputer network (step 1310).

Another exemplary embodiment of a method of present invention is shownin FIG. 14. The method comprises the steps of: providing a requesterwith a computer-readable program for a remote computer equipped with ascanning device, where the computer-readable program controls thescanning device and prevents alterations to an image produced by thescanning device on the remote computer (step 1405), collecting apersonal information from the requester via the computer-readableprogram for the remote computer or via a web-based graphical userinterface (step 1410), transmitting from the remote computer to a servercomputer a digital copy of an identification document of the requester,produced by the scanning device on the remote computer, where theidentification document contains a requester's photograph, where thetransmitting is achieved by a first computer-readable code on the servercomputer and by a second computer-readable code on the remote computer,and where the server computer and the remote computer arecommunicatively connected via a computer network (step 1415), isolatingthe requester's photograph from the digital copy of the identificationdocument (step 1420), obtaining one or more images from one or morecomputer network information sources, where the one or more images areselected from a plurality of all images in the one or more computernetwork information sources as a function of the personal information(step 1425), comparing the requester's photograph with the one or moreimages obtained from the one or more computer network informationsources using a predetermined algorithm (step 1430), and calculating astatistical rating of a likelihood that the requester's photograph andthe one or more images obtained from the one or more computer networkinformation sources depict the same person (step 1435).

The scanning device may include an image scanner, a digital scanner, astationary scanner, a flatbed scanner, a desktop scanner, aprinter-scanner, a slide scanner, a film scanner, a photo scanner, aportable scanner, a handheld scanner, a sheet-fed scanner, a digitalcamera scanner, a drum scanner, etc.

The computer-readable program provided to the requester is designed tocontrol the scanning device of the remote computer and preventsalterations to an image produced by the scanning device. Thus, theverifier ensures that the images of the requester's documents scanned(produced) by the scanning device through the provided computer-readableprogram were not tempered with.

After the requester scanned the identification document with thescanning device attached to the remote computer under control of thecomputer-readable program, the resulting image is transmitted to theverifier's server.

Another exemplary embodiment of a system of present invention is shownin FIG. 15. The system comprises: means for providing a requester with acomputer-readable program for a remote computer equipped with a scanningdevice, where the computer-readable program controls the scanning deviceand prevents alterations to an image produced by the scanning device onthe remote computer (1505), and means for transmitting from the remotecomputer to a server computer a digital copy of an identificationdocument of the requester, produced by the scanning device on the remotecomputer, where the identification document contains a requester'sphotograph, where transmitting is achieved by a first computer-readablecode on the server computer and by a second computer-readable code onthe remote computer, and where the server computer and the remotecomputer are communicatively connected via a computer network (1510).

Another exemplary embodiment of a system of present invention is shownin FIG. 16. The system comprises: means for providing a requester with acomputer-readable program for a remote computer equipped with a scanningdevice, where the computer-readable program controls the scanning deviceand prevents alterations to an image produced by the scanning device onthe remote computer (1605), means for collecting a personal informationfrom the requester via the computer-readable program for the remotecomputer or via a web-based graphical user interface (1610), means fortransmitting from the remote computer to a server computer a digitalcopy of an identification document of the requester, produced by thescanning device on the remote computer, where the identificationdocument contains a requester's photograph, where transmitting isachieved by a first computer-readable code on the server computer and bya second computer-readable code on the remote computer, and where theserver computer and the remote computer are communicatively connectedvia a computer network (1615), means for isolating the requester'sphotograph from the digital copy of the identification document (1620),means for obtaining one or more images from one or more computer networkinformation sources, where the one or more images are selected from aplurality of all images in the one or more computer network informationsources as a function of the personal information (1625), means forcomparing the requester's photograph with the one or more imagesobtained from the one or more computer network information sources usinga predetermined algorithm (1630), and means for calculating astatistical rating of a likelihood that the requester's photograph andthe one or more images obtained from the one or more computer networkinformation sources depict the same person (1635).

Another exemplary embodiment of a method of present invention is shownin FIG. 17. The method comprises the steps of: providing a requesterwith a computer-readable program (application) for a digital mobiledevice equipped with a built-in digital photo camera, where thecomputer-readable program controls the digital photo camera and preventsalterations to an image taken with the digital photo camera on thedigital mobile device (step 1705), and transmitting from the digitalmobile device to a server computer a portrait photograph of therequester, taken with the digital photo camera on the digital mobiledevice, where the transmitting is achieved by a first computer-readablecode on the server computer and by a second computer-readable code onthe digital mobile device, and where the server computer and the digitalmobile device are communicatively connected via a computer network (step1710).

The computer-readable program provided to the requester is designed tocontrol the built-in digital photo camera of the digital mobile deviceand prevents alterations to an image taken with the digital photocamera. Thus, the verifier ensures that the photographs of the documentsor the portrait photographs of the requester taken with the digitalphoto camera through the provided computer-readable program were nottempered with.

After the portrait photograph of the requester is taken with the digitalphoto camera of the digital mobile device under control of thecomputer-readable program, the resulting image is transmitted to theverifier's server.

Another exemplary embodiment of a method of present invention is shownin FIG. 18. The method comprises the steps of: providing a requesterwith a computer-readable program (application) for a digital mobiledevice equipped with a built-in digital photo camera, where thecomputer-readable program controls the digital photo camera and preventsalterations to an image taken with the digital photo camera on thedigital mobile device (step 1805), collecting a personal informationfrom the requester via the computer-readable program for the digitalmobile device or via a web-based graphical user interface (step 1810),transmitting from the digital mobile device to a server computer aportrait photograph of the requester, taken with the digital photocamera on the digital mobile device, where the transmitting is achievedby a first computer-readable code on the server computer and by a secondcomputer-readable code on the digital mobile device, and where theserver computer and the digital mobile device are communicativelyconnected via a computer network (step 1815), obtaining one or moreimages from one or more computer network information sources, where theone or more images are selected from a plurality of all images in theone or more computer network information sources as a function of thepersonal information (step 1820), comparing the portrait photograph ofthe requester with the one or more images obtained from the one or morecomputer network information sources using a predetermined algorithm(step 1825), and calculating a statistical rating of a likelihood thatthe portrait photograph of the requester and the one or more imagesobtained from the one or more computer network information sourcesdepict the same person (step 1830).

The methods of the present invention further may extract a first set offacial features from the portrait photograph of the requester and asecond set of facial features from the images obtained from the computernetwork information sources.

The first set of facial features from the portrait photograph of therequester and the second set of facial features from the images obtainedfrom the computer network information sources may be compared utilizinga predetermined algorithm. The predetermined algorithm may include theprincipal component analysis with eigenface, the linear discriminateanalysis, elastic bunch graph matching fisherface, the Hidden Markovmodel, the neuronal motivated dynamic link matching, skin textureanalysis, face hallucination (low-resolution images enhancement), andmany others.

Another exemplary embodiment of a system of present invention is shownin FIG. 19. The system comprises: means for providing a requester with acomputer-readable program (application) for a digital mobile deviceequipped with a built-in digital photo camera, where thecomputer-readable program controls the digital photo camera and preventsalterations to an image taken with the digital photo camera on thedigital mobile device (1905), and means for transmitting from thedigital mobile device to a server computer a portrait photograph of therequester, taken with the digital photo camera on the digital mobiledevice, where transmitting is achieved by a first computer-readable codeon the server computer and by a second computer-readable code on thedigital mobile device, and where the server computer and the digitalmobile device are communicatively connected via a computer network(1910).

Another exemplary embodiment of a system of present invention is shownin FIG. 20. The system comprises: means for providing a requester with acomputer-readable program (application) for a digital mobile deviceequipped with a built-in digital photo camera, where thecomputer-readable program controls the digital photo camera and preventsalterations to an image taken with the digital photo camera on thedigital mobile device (2005), means for collecting a personalinformation from the requester via the computer-readable program for thedigital mobile device or via a web-based graphical user interface(2010), means for transmitting from the digital mobile device to aserver computer a portrait photograph of the requester, taken with thedigital photo camera on the digital mobile device, where transmitting isachieved by a first computer-readable code on the server computer and bya second computer-readable code on the digital mobile device, and wherethe server computer and the digital mobile device are communicativelyconnected via a computer network (2015), means for obtaining one or moreimages from one or more computer network information sources, where theone or more images are selected from a plurality of all images in theone or more computer network information sources as a function of thepersonal information (2020), means for comparing the portrait photographof the requester with the one or more images obtained from the one ormore computer network information sources using a predeterminedalgorithm (2025), and means for calculating a statistical rating of alikelihood that the portrait photograph of the requester and the one ormore images obtained from the one or more computer network informationsources depict the same person (2030).

Another exemplary embodiment of a method of present invention is shownin FIG. 21. The method comprises the steps of: providing a requesterwith a computer-readable program for a remote computer equipped with adigital photo camera, where the computer-readable program controls thedigital photo camera and prevents alterations to an image taken with thedigital photo camera on the remote computer (step 2105), andtransmitting from the remote computer to a server computer a portraitphotograph of the requester, taken with the digital photo camera on thedigital remote computer, where the transmitting is achieved by a firstcomputer-readable code on the server computer and by a secondcomputer-readable code on the remote computer, and where the servercomputer and the remote computer are communicatively connected via acomputer network (step 2110).

Another exemplary embodiment of a method of present invention is shownin FIG. 22. The method comprises the steps of: providing a requesterwith a computer-readable program for a remote computer equipped with adigital photo camera, where the computer-readable program controls thedigital photo camera and prevents alterations to an image taken with thedigital photo camera on the remote computer (step 2205), collecting apersonal information from the requester via the computer-readableprogram for the remote computer or via a web-based graphical userinterface (step 2210), transmitting from the remote computer to a servercomputer a portrait photograph of the requester, taken with the digitalphoto camera on the remote computer, where the transmitting is achievedby a first computer-readable code on the server computer and by a secondcomputer-readable code on the remote computer, and where the servercomputer and the remote computer are communicatively connected via acomputer network (step 2215), obtaining one or more images from one ormore computer network information sources, where the one or more imagesare selected from a plurality of all images in the one or more computernetwork information sources as a function of the personal information(step 2220), comparing the portrait photograph of the requester with theone or more images obtained from the one or more computer networkinformation sources using a predetermined algorithm (step 2225), andcalculating a statistical rating of a likelihood that the portraitphotograph of the requester and the one or more images obtained from theone or more computer network information sources depict the same person(step 2230).

Another exemplary embodiment of a system of present invention is shownin FIG. 23. The system comprises: means for providing a requester with acomputer-readable program for a remote computer equipped with a digitalphoto camera, where the computer-readable program controls the digitalphoto camera and prevents alterations to an image taken with the digitalphoto camera on the remote computer (2305), and means for transmittingfrom the remote computer to a server computer a portrait photograph ofthe requester, taken with the digital photo camera on the digital remotecomputer, where transmitting is achieved by a first computer-readablecode on the server computer and by a second computer-readable code onthe remote computer, and where the server computer and the remotecomputer are communicatively connected via a computer network (2310).

Another exemplary embodiment of a system of present invention is shownin FIG. 24. The system comprises: means for providing a requester with acomputer-readable program for a remote computer equipped with a digitalphoto camera, where the computer-readable program controls the digitalphoto camera and prevents alterations to an image taken with the digitalphoto camera on the remote computer (2405), means for collecting apersonal information from the requester via the computer-readableprogram for the remote computer or via a web-based graphical userinterface (2410), means for transmitting from the remote computer to aserver computer a portrait photograph of the requester, taken with thedigital photo camera on the remote computer, where transmitting isachieved by a first computer-readable code on the server computer and bya second computer-readable code on the remote computer, and where theserver computer and the remote computer are communicatively connectedvia a computer network (2415), means for obtaining one or more imagesfrom one or more computer network information sources, where the one ormore images are selected from a plurality of all images in the one ormore computer network information sources as a function of the personalinformation (2420), means for comparing the portrait photograph of therequester with the one or more images obtained from the one or morecomputer network information sources using a predetermined algorithm(2425), and means for calculating a statistical rating of a likelihoodthat the portrait photograph of the requester and the one or more imagesobtained from the one or more computer network information sourcesdepict the same person (2430).

The means of the embodiments disclosed in the present specification canbe substituted with machines, apparatuses, and devices described orlisted in this specification or equivalents thereof. As a non-limitingexample, the means of the embodiments may be substituted with acomputing device, a computer-readable code, a computer-executable code,or any combination thereof.

All embodiments of the present invention may further be limited andimplemented with any and all limitations disclosed in this specificationor in the documents incorporated in this patent application byreference.

Other embodiments and uses of this invention will be apparent to thosehaving ordinary skill in the art upon consideration of the specificationand practice of the invention disclosed herein. The specification andexamples given should be considered exemplary only, and it iscontemplated that the appended claims will cover any other suchembodiments or modifications as fall within the true scope of theinvention.

The Abstract accompanying this specification is provided to enable theUnited States Patent and Trademark Office and the public generally todetermine quickly from a cursory inspection the nature and gist of thetechnical disclosure and is in no way intended for defining,determining, or limiting the present invention or any of itsembodiments.

1. A method, comprising the steps of: a) providing a requester with acomputer-readable program for a digital mobile device equipped with abuilt-in digital photo camera, wherein said computer-readable programcontrols said digital photo camera and prevents alterations to an imagetaken with said digital photo camera on said digital mobile device, andb) transmitting from said digital mobile device to a server computer aportrait photograph of said requester, taken with said digital photocamera on said digital mobile device, wherein said transmitting isachieved by a first computer-readable code on said server computer andby a second computer-readable code on said digital mobile device, andwherein said server computer and said digital mobile device arecommunicatively connected via a computer network.
 2. A method,comprising the steps of: a) providing a requester with acomputer-readable program for a digital mobile device equipped with abuilt-in digital photo camera, wherein said computer-readable programcontrols said digital photo camera and prevents alterations to an imagetaken with said digital photo camera on said digital mobile device, b)collecting a personal information from said requester via saidcomputer-readable program for said digital mobile device or via aweb-based graphical user interface, c) transmitting from said digitalmobile device to a server computer a portrait photograph of saidrequester, taken with said digital photo camera on said digital mobiledevice, wherein said transmitting is achieved by a firstcomputer-readable code on said server computer and by a secondcomputer-readable code on said digital mobile device, and wherein saidserver computer and said digital mobile device are communicativelyconnected via a computer network, d) obtaining one or more images fromone or more computer network information sources, wherein said one ormore images are selected from a plurality of all images in said one ormore computer network information sources as a function of said personalinformation, e) comparing said portrait photograph of said requesterwith said one or more images obtained from said one or more computernetwork information sources using a predetermined algorithm, and f)calculating a statistical rating of a likelihood that said portraitphotograph of said requester and said one or more images obtained fromsaid one or more computer network information sources depict the sameperson.
 3. The method of claim 2, wherein said personal information isselected from the group consisting of a name of said requester, amailing address of said requester, a home address of said requester, anelectronic mail address of said requester, a telephone number of saidrequester, a date of birth of said requester, a login name of saidrequester to a social network website, an account number of saidrequester to a social network website, an account name of said requesterto a social network website, and a password of said requester to asocial network website.
 4. The method of claim 2, wherein said computernetwork contains the Internet.
 5. The method of claim 2, wherein saidone or more computer network information sources is selected from thegroup consisting of a website, a webpage, an online blog, a socialnetwork website, and an image sharing website.
 6. The method of claim 2,wherein said function for selecting said one or more images from saidplurality of all images in said one or more computer network informationsources comprises selecting an image posted onto said one or morecomputer network information sources from an account of said requester.7. The method of claim 2, wherein said function for selecting said oneor more images from said plurality of all images in said one or morecomputer network information sources comprises selecting an image taggedwith a name of said requester.
 8. The method of claim 2, wherein saidfunction for selecting said one or more images from said plurality ofall images in said one or more computer network information sourcescomprises selecting an image appearing in a social network account ofsaid requester.
 9. The method of claim 2, further comprising the stepof: g) extracting a first set of facial features from said portraitphotograph of said requester.
 10. The method of claim 2, furthercomprising the step of: g) extracting a second set of facial featuresfrom said one or more images obtained from said one or more computernetwork information sources.
 11. The method of claim 2, wherein saidpredetermined algorithm for comparing said portrait photograph of saidrequester with said one or more images obtained from said one or morecomputer network information sources comprises comparing a first set offacial features extracted from said portrait photograph of saidrequester with a second set of facial features extracted from said oneor more images obtained from said one or more computer networkinformation sources.
 12. The method of claim 2, wherein said statisticalrating is calculated as a real number in a range from 0 to 1, whereinvalue 0 indicates the lowest likelihood and value 1 indicates thehighest likelihood that said portrait photograph of said requester andsaid one or more images obtained from said one or more computer networkinformation sources depict the same person.
 13. The method of claim 12,wherein said statistical rating of value 0.5 and above indicates thatsaid portrait photograph of said requester and said one or more imagesobtained from said one or more computer network information sourcesdepict the same person.
 14. The method of claim 2, wherein saidstatistical rating is calculated as an integer number of 0 or
 1. 15. Asystem, comprising: a) means for providing a requester with acomputer-readable program for a digital mobile device equipped with abuilt-in digital photo camera, wherein said computer-readable programcontrols said digital photo camera and prevents alterations to an imagetaken with said digital photo camera on said digital mobile device, andb) means for transmitting from said digital mobile device to a servercomputer a portrait photograph of said requester, taken with saiddigital photo camera on said digital mobile device, wherein transmittingis achieved by a first computer-readable code on said server computerand by a second computer-readable code on said digital mobile device,and wherein said server computer and said digital mobile device arecommunicatively connected via a computer network.
 16. A system,comprising: a) means for providing a requester with a computer-readableprogram for a digital mobile device equipped with a built-in digitalphoto camera, wherein said computer-readable program controls saiddigital photo camera and prevents alterations to an image taken withsaid digital photo camera on said digital mobile device, b) means forcollecting a personal information from said requester via saidcomputer-readable program for said digital mobile device or via aweb-based graphical user interface, c) means for transmitting from saiddigital mobile device to a server computer a portrait photograph of saidrequester, taken with said digital photo camera on said digital mobiledevice, wherein transmitting is achieved by a first computer-readablecode on said server computer and by a second computer-readable code onsaid digital mobile device, and wherein said server computer and saiddigital mobile device are communicatively connected via a computernetwork, d) means for obtaining one or more images from one or morecomputer network information sources, wherein said one or more imagesare selected from a plurality of all images in said one or more computernetwork information sources as a function of said personal information,e) means for comparing said portrait photograph of said requester withsaid one or more images obtained from said one or more computer networkinformation sources using a predetermined algorithm, and f) means forcalculating a statistical rating of a likelihood that said portraitphotograph of said requester and said one or more images obtained fromsaid one or more computer network information sources depict the sameperson.
 17. The system of claim 16, wherein said personal information isselected from the group consisting of a name of said requester, amailing address of said requester, a home address of said requester, anelectronic mail address of said requester, a telephone number of saidrequester, a date of birth of said requester, a login name of saidrequester to a social network website, an account number of saidrequester to a social network website, an account name of said requesterto a social network website, and a password of said requester to asocial network website.
 18. The system of claim 16, wherein saidcomputer network contains the Internet.
 19. The system of claim 16,wherein said one or more computer network information sources isselected from the group consisting of a website, a webpage, an onlineblog, a social network website, and an image sharing website.
 20. Thesystem of claim 16, wherein said function for selecting said one or moreimages from said plurality of all images in said one or more computernetwork information sources comprises selecting an image posted ontosaid one or more computer network information sources from an account ofsaid requester.
 21. The system of claim 16, wherein said function forselecting said one or more images from said plurality of all images insaid one or more computer network information sources comprisesselecting an image tagged with a name of said requester.
 22. The systemof claim 16, wherein said function for selecting said one or more imagesfrom said plurality of all images in said one or more computer networkinformation sources comprises selecting an image appearing in a socialnetwork account of said requester.
 23. The system of claim 16, furthercomprising: g) means for extracting a first set of facial features fromsaid portrait photograph of said requester.
 24. The system of claim 16,further comprising: g) means for extracting a second set of facialfeatures from said one or more images obtained from said one or morecomputer network information sources.
 25. The system of claim 16,wherein said predetermined algorithm for comparing said portraitphotograph of said requester with said one or more images obtained fromsaid one or more computer network information sources comprisescomparing a first set of facial features extracted from said portraitphotograph of said requester with a second set of facial featuresextracted from said one or more images obtained from said one or morecomputer network information sources.
 26. The system of claim 16,wherein said statistical rating is calculated as a real number in arange from 0 to 1, wherein value 0 indicates the lowest likelihood andvalue 1 indicates the highest likelihood that said portrait photographof said requester and said one or more images obtained from said one ormore computer network information sources depict the same person. 27.The system of claim 26, wherein said statistical rating of value 0.5 andabove indicates that said portrait photograph of said requester and saidone or more images obtained from said one or more computer networkinformation sources depict the same person.
 28. The system of claim 16,wherein said statistical rating is calculated as an integer number of 0or 1.